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Nature-Inspired Intelligence Methods and Applications.

Authors :
Xu, Qingzheng
Rocha, Ana Maria A. C.
Cuevas, Erik
Fister Jr., Iztok
Source :
Mathematical Problems in Engineering; 9/2/2022, p1-2, 2p
Publication Year :
2022

Abstract

Research in nature-inspired intelligence methods and applications has increased exponentially in the past decade. In the paper "Multiobjective brain storm optimization community detection method based on novelty search" by Pan et al., a multiobjective brain storm optimization based on novelty search (MOBSO-NS) was proposed to solve the premature convergence caused by the loss of diversity in complex network community detection. Inspired by a natural phenomenon from biology, physics, or sociology, population-based nature-inspired algorithms aim to achieve satisfactory results for many difficult optimization problems effectively. [Extracted from the article]

Details

Language :
English
ISSN :
1024123X
Database :
Complementary Index
Journal :
Mathematical Problems in Engineering
Publication Type :
Academic Journal
Accession number :
158881511
Full Text :
https://doi.org/10.1155/2022/9825231